AggregatedAutocorrelation: AggregatedAutocorrelation

Description Usage Arguments Value

Description

Calculates a linear least-squares regression for values of the time series that were aggregated over chunks versus the sequence from 0 up to the number of chunks minus one.

Usage

1
AggregatedAutocorrelation(arr, aggregation.function)

Arguments

arr

KHIVA array with the time series.

aggregation.function

Function to be used in the aggregation. It receives an integer which indicates the function to be applied: 0 : mean, 1 : median 2 : min, 3 : max, 4 : stdev, 5 : var, default : mean

Value

KHIVA Array whose values contains the aggregated correlation for each time series.


shapelets/khiva-r documentation built on June 10, 2019, 4:58 a.m.